An idempotency key gives a video API a client-supplied identity for one logical operation, so a retry can be recognized as the same attempt. Request deduplication is the broader behavior of detecting repeated requests and preventing duplicate effects; an API may implement it with keys, domain rules, or another mechanism. For video workflows, that is separate from resuming an interrupted file upload: a client may need both protections.
What happens when a video API request times out?
A timeout tells the client that it did not receive a timely response; it does not establish that the server did not finish the operation. For example, a server might create a processing job and then lose the connection before the client receives the job ID. Retrying without a way to identify the original operation can create a second job.
With an idempotency key, the client sends the same key again for a retry of that logical action. The server can associate the attempts and preserve or return the original result. Stripe describes saving the first result and returning it for later requests with the same key in its Idempotent requests API reference. Exact behavior is defined by each API, not by one universal contract.
How do idempotency keys and request deduplication differ?
Idempotency describes what repeated execution of an operation should do: it should not cause an additional effect. An idempotency key is an explicit way to identify which attempts belong to that operation. Request deduplication describes the server behavior of detecting a repeat and avoiding a duplicate effect. That behavior might use an idempotency key, or it might rely on domain rules such as recognizing that an equivalent record already exists.
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Stripe’s engineering discussion illustrates the distinction: a server can recognize an existing record and treat a repeated create as successful, without making an explicit client key the only way to detect the repeat. The key question is both what makes two requests the same operation and what response the API returns when it recognizes a duplicate. See Stripe’s explanation of idempotency and robust API design.
What should you compare in a video API’s contract?
“Deduplicated” alone is not enough to predict whether a retry will create another job, return the existing job, or fail. Check the API documentation for each behavior before building retry logic.
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| Question | What to look for |
|---|---|
| Operation identity | Does the client supply a key, or does the API identify repeats using resource or domain fields? |
| Payload consistency | What happens if the same key is sent with changed parameters: an error, a new operation, or another documented outcome? |
| Concurrent requests | How does the API handle two matching requests arriving before either has completed? Do not assume they are serialized or replayed identically unless documented. |
| Retry response | Does a retry return the saved status and body, the existing resource, or only an indication that the request was a duplicate? |
| Retention | How long does the API remember the key or duplicate identity, and what happens after it expires? |
| Upload recovery | Can the client check how many bytes the server accepted and resume from that point? Job-creation deduplication does not answer this. |
These are API-specific contract details. For example, Stripe documents key replay and parameter matching, YouTube documents upload-session progress, and Amazon documents a particular existing-asset rule; those examples do not establish a shared policy across video APIs.
How should a client use an idempotency key for job creation?
- Create one key for one logical action. Generate a key when the user action or job-creation operation begins, not anew for every network attempt. Preserve it when retrying that same action. Stripe recommends high-entropy keys such as V4 UUIDs; that is Stripe guidance, not a universal format requirement.
- Keep the operation’s input consistent. Retry with the same key and the same intended parameters. Stripe compares parameters to the original request and returns an error if a key is reused with different parameters.
- On timeout, do not infer failure. Retry with the original key, or query the operation’s status if the API provides that mechanism. Do not start a second logical job merely because the first response was lost.
- Handle errors according to the documented rules. Stripe says it stores results after endpoint execution begins; validation failures and certain conflicts with an in-progress request are not saved as idempotent results. Other APIs may handle these cases differently, so their error and concurrency rules matter.
- Plan for the key’s scope and lifetime. Stripe’s reference recommends keys up to 255 characters and says it may prune a key once it is at least 24 hours old. These are Stripe-specific details, not a standard maximum or retention window. For any API, find out whether identity is scoped by account, endpoint, or another boundary, and what happens after its documented retention period.
For a service you operate, a sound design is to scope the key to the relevant account or tenant and operation, bind it to a canonical request payload or fingerprint, and return a consistent operation identifier for matching retries. Reject reuse with materially different input. These are design recommendations drawn from documented replay and parameter-matching behavior, not guarantees about every provider.
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Why upload resumption is a separate problem
An idempotency key can prevent a duplicate job-creation effect; it does not tell a client which bytes of a large source video reached the server. A video workflow may therefore need one identity for creating the processing job and a separate protocol for recovering the file transfer.
YouTube: resume from server-reported upload progress
The YouTube Data API resumable-upload guide describes starting a session with a POST request, receiving an upload URL, and transferring bytes with subsequent PUT requests. The client can query the session, and the server’s Range response indicates how much data it has accepted. After a lost connection or server error, the client should check upload state rather than assume the previous chunk was either entirely accepted or entirely lost; it can then resume from the reported point. The guide also instructs clients to honor Retry-After when returned. This describes YouTube’s upload protocol, not the contract of every video API.
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Google Display & Video 360: upload modes have different trade-offs
The Display & Video 360 media-upload guide documents simple upload for data small enough to resend if necessary, and multipart upload when metadata accompanies media and the data is small enough to resend if necessary. These are upload-mode choices, not a promise that duplicate processing jobs will be suppressed.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What do provider examples establish—and what do they not?
| API example | Documented behavior | What it does not establish |
|---|---|---|
| Stripe idempotent requests | The same key can replay the first result; parameters are compared, and reusing a key with different parameters produces an error. Stripe may prune keys once they are at least 24 hours old and documents a maximum key length of 255 characters. Source | A universal key lifetime, length limit, concurrency policy, or video-job behavior for other APIs. |
| YouTube Data API resumable upload | A session URL and server-reported Range progress let a client check accepted bytes and resume an upload. Source |
Whether creating a processing job twice is deduplicated. |
Amazon Selling Partner API createMedia |
The reference calls the operation idempotent when an asset or pairing already exists with identical metadata, returning existing data; differing metadata produces a conflict. Source | A general rule for other endpoints or vendors, including their key retention and upload recovery. |
The examples show why response, equality, and retention rules should be stated concretely. “Exactly once” should not be promised merely because an API accepts an idempotency key: distributed operations can involve downstream side effects whose guarantees depend on more than the initial request. Stripe discusses those limits in its engineering article.
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A practical retry checklist for video workflows
- Use one stable idempotency key per user action or job-creation operation when the API supports it.
- Keep the key and intended payload together across retries; do not silently reuse the key for a changed request.
- After a timeout, retry with that key or check operation status instead of assuming the server did nothing.
- Confirm documented behavior for matching concurrent requests, validation errors, payload mismatch, replayed responses, and key expiration.
- Use a resumable-upload session or equivalent progress mechanism for large media transfers; job deduplication does not recover file-transfer progress.
- Describe guarantees at the level the API actually documents. A key may make a request safely retryable without guaranteeing exactly-once execution across every downstream system.
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